Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

A Brunetti, D Buongiorno, GF Trotta, V Bevilacqua - Neurocomputing, 2018 - Elsevier
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

A survey of advances in vision-based human motion capture and analysis

TB Moeslund, A Hilton, V Krüger - Computer vision and image …, 2006 - Elsevier
This survey reviews advances in human motion capture and analysis from 2000 to 2006,
following a previous survey of papers up to 2000 [TB Moeslund, E. Granum, A survey of …

Automatic laser profile recognition and fast tracking for structured light measurement using deep learning and template matching

S Wang, H Wang, Y Zhou, J Liu, P Dai, X Du… - Measurement, 2021 - Elsevier
Measurement technology based on structured light is a current research focus in the field of
visual measurement and is widely applicable to various fields of industrial measurement …

Survey of pedestrian detection for advanced driver assistance systems

D Geronimo, AM Lopez, AD Sappa… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …

Monocular pedestrian detection: Survey and experiments

M Enzweiler, DM Gavrila - IEEE transactions on pattern …, 2008 - ieeexplore.ieee.org
Pedestrian detection is a rapidly evolving area in computer vision with key applications in
intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to …

Computer vision applications in intelligent transportation systems: a survey

E Dilek, M Dener - Sensors, 2023 - mdpi.com
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

Earthquake magnitude prediction in Hindukush region using machine learning techniques

KM Asim, F Martínez-Álvarez, A Basit, T Iqbal - Natural Hazards, 2017 - Springer
Earthquake magnitude prediction for Hindukush region has been carried out in this research
using the temporal sequence of historic seismic activities in combination with the machine …

Pedestrian trajectory prediction based on deep convolutional LSTM network

X Song, K Chen, X Li, J Sun, B Hou… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Pedestrian trajectory prediction is vital for transportation systems. Generally we can divide
pedestrian behavior modeling into two categories, ie, knowledge-driven and data-driven …

Human detection from images and videos: A survey

DT Nguyen, W Li, PO Ogunbona - Pattern Recognition, 2016 - Elsevier
The problem of human detection is to automatically locate people in an image or video
sequence and has been actively researched in the past decade. This paper aims to provide …

Pedestrian protection systems: Issues, survey, and challenges

T Gandhi, MM Trivedi - IEEE Transactions on intelligent …, 2007 - ieeexplore.ieee.org
This paper describes the recent research on the enhancement of pedestrian safety to help
develop a better understanding of the nature, issues, approaches, and challenges …